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Company Information:

Company Name:
AETION TECHNOLOGIES LLC
Address:
1275 Kinnear Road
Columbus, OH 43212 1155
Phone:
(614) 340-1835
URL:
N/A
EIN:
311697503
DUNS:
158053434
Number of Employees:
7
Woman-Owned?:
No
Minority-Owned?:
No
HUBZone-Owned?:
No

Commercialization:

Has been acquired/merged with?:
N/A
Has had Spin-off?:
N/A
Has Had IPO?:
N/A
Year of IPO:
N/A
Has Patents?:
N/A
Number of Patents:
N/A
Total Sales to Date $:
$ 0.00
Total Investment to Date $
$ 0.00
POC Title:
N/A
POC Name:
N/A
POC Phone:
N/A
POC Email:
N/A
Narrative:
N/A

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $574,173.00 7
SBIR Phase II $749,154.00 1
STTR Phase I $198,836.00 2
STTR Phase II $749,321.00 1

Award List:

Design-space search to find manufacturable prototypes and best manufacturing processes

Award Year / Program / Phase:
2002 / SBIR / Phase I
Award Amount:
$67,435.00
Agency / Branch:
DOD / MDA
Principal Investigator:
Mark Carroll, Chief Information Officer
Abstract:
"Aetion will leverage proprietary multi-criterial decision-making technology, SFVM, that can be used for generating and evaluating a very large number and range of manufacturing alternatives in parallel, efficiently finding the best options from among them,and presenting the results to the user so… More

Sensor fusion for situation awareness in littoral environments

Award Year / Program / Phase:
2002 / SBIR / Phase I
Award Amount:
$98,636.00
Agency / Branch:
DOD / DARPA
Principal Investigator:
John Josephson, Founding Partner
Abstract:
"To maximize situational awareness, while minimizing cognitive overload, automated abductive inference (best-explanation reasoning) will be used to create a changing, "best interpretation" representation of the situation from incoming data. Modeling andsimulation will be used by the abductive… More

Component-Based Compositional Simulator for Multi-Criterial Optimization

Award Year / Program / Phase:
2002 / SBIR / Phase I
Award Amount:
$69,913.00
Agency / Branch:
DOD / NAVY
Principal Investigator:
Mark Carroll, Chief Information Officer
Abstract:
"Aetion Technologies LLC will study the feasibility of applying its SFV decision-support technology to visualization of modeling and simulation processes. The technical and scientific merit will be assessed of applying SFV technology to build up models andobserve them being simulated, in whole or in… More

Integrated Component-Based Simulation and Analysis of Depot Shop Processes

Award Year / Program / Phase:
2002 / SBIR / Phase I
Award Amount:
$99,382.00
Agency / Branch:
DOD / USAF
Principal Investigator:
Mark Carroll, Chief Information Officer
Abstract:
"Aetion Technologies LLC will study the feasibility of applying its SFV decision-support technology to modeling, Monte Carlo simulation, and analysis of depot shop processes. The project will assess whether SFV can be used to model heterogeneous depot shopelements and systems with multiple states at… More

Separation of Speech from Background

Award Year / Program / Phase:
2003 / STTR / Phase I
Award Amount:
$98,888.00
Agency / Branch:
DOD / USAF
Principal Investigator:
John Josephson, Founding Partner
Research Institution:
THE OHIO STATE UNIV.
RI Contact:
David Doty
Abstract:
Human ability to attend to a single voice in the presence of background interference is remarkable. If this could be imitated in practical technology it would be of great benefit for automatic speech recognition and other applications. Researchers at OhioState University have demonstrated… More

Evidential Reasoning Based Data Fusion for Improved Acquisition, Tracking and Discrimination

Award Year / Program / Phase:
2003 / SBIR / Phase I
Award Amount:
$69,588.00
Agency / Branch:
DOD / MDA
Principal Investigator:
John Josephson, Founding Partner
Abstract:
To develop algorithms, software, and/or hardware necessary to collect, process, and fuse information from multiple sensors based on multiple platforms (XBR, SBIRS, EKV, UEWR) in real time in order to improve acquisition, tracking and discrimination ofthreat objects in a cluttered environment,… More

Sensor Fusion for Situation Awareness in Littoral Environments

Award Year / Program / Phase:
2004 / SBIR / Phase II
Award Amount:
$749,154.00
Agency / Branch:
DOD / DARPA
Principal Investigator:
Abstract:
To support pilot situation awareness for small high-speed submersibles in littoral environments, automatic information fusion is needed that is capable off deriving actionable information from sensor data that is degraded in the manner of sonar data in shallow water. A Phase I project showed the… More

Dry Sterilization Procedures Based on Variable Frequency Microwave Technology

Award Year / Program / Phase:
2006 / STTR / Phase II
Award Amount:
$749,321.00
Agency / Branch:
DOD / ARMY
Principal Investigator:
Mark Carroll, Founding Partner
Research Institution:
CHILDREN'S HOSPITAL
RI Contact:
Will Ray
Abstract:
Conventional computational docking typically takes a long time because it has a six-dimensional problem to solve - ligand orientation and ligand position - as well as conformational aspects. Reducing the dimensionality of the problem offers the opportunit

Automatically Guiding Interviews By Commonsense Abductive Principles

Award Year / Program / Phase:
2008 / SBIR / Phase I
Award Amount:
$69,623.00
Agency / Branch:
DOD / ARMY
Principal Investigator:
John Josephson, President
Abstract:
Significant challenges exist related to smartly interviewing multiple people to assess eyewitness accounts and judge how truthful a source is. Aetion proposes applying a powerful form of inference called abduction to help intelligently interview multiple people and compare their corresponding… More

Resource Optimization for Battle Management

Award Year / Program / Phase:
2010 / SBIR / Phase I
Award Amount:
$99,596.00
Agency / Branch:
DOD / MDA
Principal Investigator:
Jeffrey Steinman, President/CEO
Abstract:
Resource optimization strategies for engaging multi-stage, long-range missiles carrying multiple warheads during the ascent phase is an area of interest to MDA and the larger DoD community. The ability to rapidly predict the outcomes of extremely large numbers of decision permutations is crucial in… More